Vectorize · FinOps Profile

Vectorize Io Finops

FinOps view of Vectorize RAG platform spend. Vectorize bills primarily through subscription tiers (Free / Starter / Professional / Enterprise) keyed to the number of RAG pipelines and monthly pages processed, plus the built-in vector database, vision-model PDF processing, retrieval queries, Iris extraction, and deep research. Cost drivers are page-processing volume (ingestion / extraction), number and update frequency of pipelines, and retrieval query volume.

Vectorize Io Finops is the FinOps profile for Vectorize on the APIs.io network, aligned with the FinOps Foundation Framework.

It defines 7 billable meters, billed in USD, on a monthly cycle, and pricing category subscription-based.

The profile maps 8 FOCUS columns for cost-allocation reporting.

Tagged areas include AI, RAG, Vectorization, Embeddings, and Retrieval.

Category: AI and Machine Learning Pricing: Subscription-Based Billing: Monthly FOCUS v1.3
AIRAGVectorizationEmbeddingsRetrievalVector DatabaseFinOpsCost ManagementFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

UsagePurchaseAdjustment

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Purchase
InvoiceIssuerName
Vectorize
PricingCategory
Subscription-Based
ProviderName
Vectorize
PublisherName
Vectorize
ServiceCategory
AI and Machine Learning
ServiceName
Vectorize

Meters

subscription_tier
Unit: subscription
Monthly subscription fee for the selected plan (Starter, Professional).
pipelines
Unit: pipelines
Number of active RAG pipelines against the tier allowance.
pages_processed
Unit: pages
Document pages ingested / extracted per month, against the tier allowance.
retrieval_requests
Unit: requests
Retrieval (vector search) queries issued against pipelines.
extraction_jobs
Unit: jobs
Iris document extraction jobs run via the Extraction API.
deep_research_runs
Unit: jobs
Deep research runs grounded in a pipeline's vector index.
vision_pages
Unit: pages
Pages routed through vision-model processing for complex PDFs.

Sources